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Paper RSE 16070136

On-line safety assessment of the electrical system considering uncertainties: the iTESLA approach



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C. Bagnasco (TechRain), D. Cirio (RSE SpA) , E. Ciapessoni (RSE SpA) , A. Pitto (RSE SpA), N. Omont (RTE France)

GRID RESILIENCE 2016 - Security and vulnerabilities of the electrical system

The memory presents the methodology and architecture of the platform for security analysis of large electricity networks, developed in the European project FP7 "iTesla". In particular, dynamic safety assessments are carried out in an "on-line" environment, from a few minutes to a few hours in advance of real-time operation, taking into account the forecast uncertainties associated with loads and FER-NP generation. The approach developed foresees an off-line pre-computation in which the models of uncertainties and appropriate "safety rules" are defined. These are used in the next phase in line and allow the rapid filtering of contingencies. The memory illustrates in particular the filtering stage "Monte Carlo-like Approach (MCLA)" and some results of the validation phase.

The integration of production from non-programmable renewable sources into the electricity system and the intensive use of the transmission grid on a continental scale require in-depth assessments of operational safety. In particular, it is necessary to carry out dynamic, off-line and near-line analyses, taking into account uncertainties about loads and renewable sources.

It is therefore necessary to develop "smart" approaches that allow the modelling of forecasting uncertainty while ensuring calculation efficiency. This memory describes the platform developed in the framework of the European project FP7 iTesla for the near on-line evaluation of the static and dynamic safety of the electrical system in the presence of uncertainties.

The approach, based on a specially developed high-performance calculation methodology and techniques, was tested on a model of the French transmission network. The results presented, relating to the overload of the transmission lines, show how important the representation of the forecast uncertainty is, since safe situations at the forecasting level can turn, due to uncertainties, into unsafe situations that have to be addressed by the system operator.

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